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Model Risk Manager Jobs in Austin, TX (NOW HIRING)

Familiarity with AI/ML platforms, predictive modeling, and data visualization tools. * Strong ... Bachelor's degree in Risk Management, Data Science, Finance, or related field; advanced degree ...

The Associate Risk Manager reports to and supports the Director of Risk Management to administer ... modeling the teachings of the Catholic Church. • Continuously grow in your ministry by ...

The Senior AI Risk Advisor, under the direction of the Manager of Risk Operations, sits at the ... Lead AI risk assessments across the full model lifecycle - evaluating third-party AI vendors ...

Design and oversee sophisticated quantitative models, sensitivity analyses, and value-at-risk ... Lead complex, multi-workstream ERM projects, managing timelines, resources, and stakeholder ...

This job leads complex projects related to risk management, collaborates with teams to identify ... PayPal's balanced hybrid work model offers 3 days in the office for effective in-person ...

Risk Advisory Senior Manager

Austin, TX · On-site +1

$119K - $215K/yr

This position may be performed in a hybrid work model from one of our office locations or remotely within the United States. As a Senior Manager, you will: * Lead and manage risk advisory and ...

New

Sr Machine Learning Engineer

Austin, TX · On-site

$55.25 - $73/hr

Familiarity with model governance, model risk management, or AI regulatory compliance frameworks (e.g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 - The base pay ...

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Model Risk Manager information

See Austin, TX salary details

$51K

$110.5K

$168.5K

How much do model risk manager jobs pay per year?

As of Jun 17, 2026, the average yearly pay for model risk manager in Austin, TX is $110,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $127,800.00 per year, depending on experience, location, and employer.

What are some common challenges a Model Risk Manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What are the key skills and qualifications needed to thrive as a Model Risk Manager, and why are they important?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What does a Model Risk Manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.
What are popular job titles related to Model Risk Manager jobs in Austin, TX? For Model Risk Manager jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Model Risk Manager jobs in Austin, TX look for? The top searched job categories for Model Risk Manager jobs in Austin, TX are:
What cities near Austin, TX are hiring for Model Risk Manager jobs? Cities near Austin, TX with the most Model Risk Manager job openings:
Infographic showing various Model Risk Manager job openings in Austin, TX as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $110,549 per year, or $53.1 per hour.

Enterprise Risk Manager

Finastra

Austin, TX • Hybrid

Full-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Job description

Who are we?


At Finastra, we're a global leader in financial services software, dedicated to expanding access to financial services and shaping what's next for the industry. Our technology powers missioncritical solutions across Lending, Payments and Universal Banking, supporting over 7,000 customers, including 80% of the world's top 50 banks, in more than 110 countries.

Location: Sandy Springs, GA OR Austin, TX (Hybrid role with 2 days a week in office requirement and flexibility to work remotely 3 days a week).
Reports To: Senior Director, Enterprise Risk Management

Overview

We are seeking a forward-thinking Enterprise Risk Manager to strengthen our risk assessment capabilities by integrating advanced analytics and AI-driven insights into the enterprise risk management framework. This role will partner with business units, technology teams, and governance functions to identify, assess, and monitor risks using innovative tools and methodologies, ensuring proactive risk mitigation and strategic decision-making.

Key Responsibilities

  • AI-Enhanced Risk Assessment:
    • Design and implement risk assessment processes leveraging AI and machine learning for predictive analytics, anomaly detection, and scenario modeling.
    • Develop dashboards and automated workflows to improve risk visibility and accelerate decision-making.
  • Risk Identification & Evaluation:
    • Conduct enterprise-wide and targeted risk assessments to identify emerging risks and control gaps.
    • Quantify risk exposure using advanced data analytics and provide actionable insights to leadership.
    • Ensure Compliance with regulatory frameworks (COSO, NIST, ISO 27001, FFIEC).
  • Control Validation & Continuous Monitoring:
    • Use AI-driven monitoring solutions to validate key controls and detect deviations in real time.
    • Establish automated alerts and reporting for high-risk indicators.
  • Stakeholder Collaboration:
    • Work closely with IT, Cybersecurity, Compliance, and Audit teams to embed AI-enabled risk practices across the organization.
    • Serve as a trusted advisor to business leaders on risk trends and mitigation strategies.
  • Innovation & Best Practices:
    • Champion the adoption of emerging technologies in risk management.
    • Continuously evaluate AI tools and methodologies to enhance risk assessment maturity.

Qualifications & Skills

  • Experience:
    • Proven expertise in enterprise risk management, risk consulting, or related fields, with exposure to AI/analytics in risk assessment.
  • Technical Expertise:
    • Familiarity with AI/ML platforms, predictive modeling, and data visualization tools.
    • Strong understanding of cybersecurity and IT risk frameworks.
  • Education:
    • Bachelor's degree in Risk Management, Data Science, Finance, or related field; advanced degree preferred.
  • Certifications:
    • CRISC, CISA, CIA, or AI/analytics certifications (e.g., Certified Analytics Professional) are a plus.
  • Core Competencies:
    • Analytical mindset, innovative thinking, and ability to translate complex data into strategic insights.
    • Excellent communication and stakeholder engagement skills.

We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we stand for:

Flexibility: Enjoy unlimited vacation, subject to local regulations and business priorities. Benefit from hybrid working arrangements and inclusive policies such as paid time off for voting, bereavement, and sick leave.

Wellbeing: Access confidential onetoone support through our Employee Assistance Program, connect with our network of Wellbeing Champions and Gather Groups, and take part in monthly events and initiatives designed to help you thrive-inside and outside of work.

Health & Financial Security: Medical, life and disability insurance, retirement plans, lifestyle, and other benefits.*

Sustainability: Paid time off for volunteering and donationmatching opportunities to support causes that matter to you.

Inclusion: Get involved in our inclusion communities, such as Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra-open to everyone who wants to participate and contribute.

Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool.

Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee surveys that help shape our culture and ways of working.

*Specific benefits may vary by location.

At Finastra, each individual is unique-bringing their own ideas, perspectives, cultural backgrounds, and experiences. We learn from one another, value what makes us different, and create an environment where everyone feels included, supported, and able to be their authentic selves.

Be unique. Be exceptional. Help us make a difference at Finastra.

Applicants for this position need to be located in posted location or their immediate surrounding areas. Due to the requirements of this position, this job posting is not available for, and Finastra will not be considering any applicants who currently reside in New York City or California.